Riesgos psicosociales intralaborales y estrés en el área de logística de una empresa multinacional del sector manufacturero

Psychosocial factors in work environment are job and organization characteristics that influence individual’s health and wellbeing. Among these alterations, Job stress has been described as one of the most important consequences on health. Objective: Determine the prevalence of risk factors and the psychosocial stress level in an area previously identified as vulnerable in a multinational company. Methodology: Descriptive, cross-sectional study, in 22 workers of a logistics area at a multinational manufacturing company from Cali, Colombia. It was applied the “tool package for the assessment of psychosocial risk factors”, which has been previously validated by the Colombian Ministry of Social Protection. We also explored the correlation between stress and psychosocial factors at work (Pearson, α: 0,05). Results: The group assessed were primarily male (95%) with scholar level of technician (91%). Psychosocial factors presenting very high risk were: environmental demands and physical stress (65%) and relationship with colleagues (54%). Regard stress, 82% of workers had high level of physiological symptoms and 18% had psychoemotional symptoms in a very high level. No correlation was found between psychosocial factors at work and stress level. Conclusions: psychosocial factors at work and stress level detected suggest immediate intervention.Los factores psicosociales intralaborales son las características del trabajo y su organización que influyen en la salud y bienestar del individuo. Una de las consecuencias más importantes sobre la salud del individuo es el estrés laboral. Objetivo: Determinar la prevalencia de factores de riesgo psicosocial intralaboral y el nivel de estrés en un área previamente identificada como vulnerable en una empresa multinacional. Metodología: Estudio descriptivo, de corte transversal, realizado en 22 trabajadores del área de logística de una empresa multinacional del sector manufacturero de la ciudad de Cali, Colombia. Se aplicó la Batería de Instrumentos para la Evaluación de los Factores de Riesgo Psicosociales validado por el Ministerio de la Protección Social de Colombia. Se exploró la correlación entre factores intralaborales y estrés (Pearson; α: 0,05). Resultados: La muestra evaluada fueron principalmente hombres (95%) con grado de escolaridad técnico (91%). Los factores psicosociales intralaborales que presentaron nivel muy alto de riesgo fueron: demandas ambientales y de esfuerzo físico (65%) y relación con colaboradores (54%). Con respecto al estrés, el 82% de los trabajadores presentaron síntomas fisiológicos en nivel alto y el 18% presentaron síntomas psicoemocionales en un nivel muy alto. No se encontró correlación entre los factores intralaborales y el nivel de estrés. Conclusiones: Los factores psicosociales intralaborales y el nivel de estrés identificado sugieren una intervención inmediata

Rotated balance in humans due to repetitive rotational movement

We show how asymmetries in the movement patterns during the process of regaining balance after perturbation from quiet stance can be modeled by a set of coupled vector fields for the derivative with respect to time of the angles between the resultant ground reaction forces and the vertical in the anteroposterior and mediolateral directions. In our model, which is an adaption of the model of Stirling and Zakynthinaki (2004), the critical curve, defining the set of maximum angles one can lean to and still correct to regain balance, can be rotated and skewed so as to model the effects of a repetitive training of a rotational movement pattern. For the purposes of our study a rotation and a skew matrix is applied to the critical curve of the model. We present here a linear stability analysis of the modified model, as well as a fit of the model to experimental data of two characteristic “asymmetric” elite athletes and to a “symmetric” elite athlete for comparison. The new adapted model has many uses not just in sport but also in rehabilitation, as many work place injuries are caused by excessive repetition of unaligned and rotational movement patterns

Pigs immunized with a novel E2 subunit vaccine are protected from subgenotype heterologous classical swine fever virus challenge

Citation: Madera, R., Gong, W. J., Wang, L. H., Burakova, Y., Lleellish, K., Galliher-Beckley, A., . . . Shi, J. S. (2016). Pigs immunized with a novel E2 subunit vaccine are protected from subgenotype heterologous classical swine fever virus challenge. Bmc Veterinary Research, 12, 10. https://doi.org/10.1186/s12917-016-0823-4Background: Classical swine fever (CSF) or hog cholera is a highly contagious swine viral disease. CSF endemic countries have to use routine vaccination with modified live virus (MLV) vaccines to prevent and control CSF. However, it is impossible to serologically differentiate MLV vaccinated pigs from those infected with CSF virus (CSFV). The aim of this study is to develop a one-dose E2-subunit vaccine that can provide protection against CSFV challenge. We hypothesize that a vaccine consisting of a suitable adjuvant and recombinant E2 with natural conformation may induce a similar level of protection as the MLV vaccine. Results: Our experimental vaccine KNB-E2 was formulated with the recombinant E2 protein (Genotype 1.1) expressed by insect cells and an oil-in-water emulsion based adjuvant. 10 pigs (3 weeks old, 5 pigs/group) were immunized intramuscularly with one dose or two doses (3 weeks apart) KNB-E2, and 10 more control pigs were administered normal saline solution only. Two weeks after the second vaccination, all KNB-E2 vaccinated pigs and 5 control pigs were challenged with 5 x 10(5) TCID50 CSFV Honduras/1997 (Genotype 1.3, 1 ml intramuscular, 1 ml intranasal). It was found that while control pigs infected with CSFV stopped growing and developed high fever (>40 degrees C), high level CSFV load in blood and nasal fluid, and severe leukopenia 3-14 days post challenge, all KNB-E2 vaccinated pigs continued to grow as control pigs without CSFV exposure, did not show any fever, had low or undetectable level of CSFV in blood and nasal fluid. At the time of CSFV challenge, only pigs immunized with KNB-E2 developed high levels of E2-specific antibodies and anti-CSFV neutralizing antibodies. Conclusions: Our studies provide direct evidence that pigs immunized with one dose KNB-E2 can be protected clinically from CSFV challenge. This protection is likely mediated by high levels of E2-specific and anti-CSFV neutralizing antibodies

Transcriptomic analysis of field-droughted sorghum from seedling to maturity reveals biotic and metabolic responses.

Drought is the most important environmental stress limiting crop yields. The C4 cereal sorghum [Sorghum bicolor (L.) Moench] is a critical food, forage, and emerging bioenergy crop that is notably drought-tolerant. We conducted a large-scale field experiment, imposing preflowering and postflowering drought stress on 2 genotypes of sorghum across a tightly resolved time series, from plant emergence to postanthesis, resulting in a dataset of nearly 400 transcriptomes. We observed a fast and global transcriptomic response in leaf and root tissues with clear temporal patterns, including modulation of well-known drought pathways. We also identified genotypic differences in core photosynthesis and reactive oxygen species scavenging pathways, highlighting possible mechanisms of drought tolerance and of the delayed senescence, characteristic of the stay-green phenotype. Finally, we discovered a large-scale depletion in the expression of genes critical to arbuscular mycorrhizal (AM) symbiosis, with a corresponding drop in AM fungal mass in the plants' roots

Simulación de flujo laminar para estimar la tortuosidad en la alfombra de Sierpinsk

Este trabajo se centra en la simulación numérica de flujo laminar para estimar la tortuosidad en una estructura geométrica fractal denominada alfombra de Sierpinski, a menudo usada para simular medios porosos sintéticos. La tortuosidad se describe como la medida de las formas irregulares o sinuosidad de los caminos, y es un parámetro muy importante para las Ciencias de la Tierra desde la Geología hasta la Ingeniería Petrolera, por su gran variedad de aplicaciones. En este estudio, se utiliza el software Comsol Multiphysics para resolver las ecuaciones que gobiernan el flujo laminar lo que permite analizar el movimiento de los fluidos a través de la alfombra de Sierpinski. Los resultados permiten obtener información valiosa sobre la eficiencia de un fluido para transportarse a través de una estructura fractal, lo que puede ser relevante en diversas áreas de investigación. Esta metodología da estimaciones de la tortuosidad comparables a las que se obtienen con otras metodologías de la literatura

Análisis comparativo de las soluciones numéricas y semi-numéricas de un modelo de advección-difusión para un medio poroso heterogéneo

En este estudio se comparan las soluciones numéricas y semi-numéricas de un modelo matemático para el transporte de un trazador en un medio poroso, y cuya solución no es posible por métodos analíticos. El modelo consiste en una ecuación diferencial parcial en coordenadas radiales, el cual describe el transporte advectivo-difusivo de un trazador en un medio poroso heterogéneo. Se observó que el método de diferencias finitas explícito es inestable, mientras que el método híbrido (diferencias finitas-transformada de Laplace), y el método de diferencias finitas implícito son más robustos. Estos últimos métodos producen idénticas soluciones. Sin embargo, el método implícito está restringido por la discretización del paso temporal, mientras que el método híbrido depende del número de términos que se usen durante la inversión numérica. La solución híbrida presenta ventajas sobre la implícita debido a su estabilidad menos restringida relacionada con los parámetros de discretización

Detecting Machine-obfuscated Plagiarism

Related dataset is at https://doi.org/10.7302/bewj-qx93 and also listed in the dc.relation field of the full item record.Research on academic integrity has identified online paraphrasing tools as a severe threat to the effectiveness of plagiarism detection systems. To enable the automated identification of machine-paraphrased text, we make three contributions. First, we evaluate the effectiveness of six prominent word embedding models in combination with five classifiers for distinguishing human-written from machine-paraphrased text. The best performing classification approach achieves an accuracy of 99.0% for documents and 83.4% for paragraphs. Second, we show that the best approach outperforms human experts and established plagiarism detection systems for these classification tasks. Third, we provide a Web application that uses the best performing classification approach to indicate whether a text underwent machine-paraphrasing. The data and code of our study are openly available.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152346/1/Foltynek2020_Paraphrase_Detection.pdfDescription of Foltynek2020_Paraphrase_Detection.pdf : Foltynek2020_Paraphrase_Detectio